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Martins Adewole

Martins Adewole

Data Annotator — Meta (Contract)

USA flagNew York, Usa
$25.00/hrIntermediateAppenClickworkerLabelbox

Key Skills

Software

AppenAppen
ClickworkerClickworker
LabelboxLabelbox
SuperviselySupervisely
SuperAnnotateSuperAnnotate
Internal/Proprietary Tooling

Top Subject Matter

Generative AI / Machine Learning
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
Data CollectionData Collection

Freelancer Overview

Data Annotator — Meta (Contract). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Business Administration, Quantic School of Business & Technology (2024) and Bachelor of Science, Lagos State University (2018). AI-training focus includes data types such as Text and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

Data Annotator — Meta (Contract)

TextClassification
As a Data Annotator at Meta, I performed precise annotation and validation of text and multimodal datasets for training generative AI models. My work included systematically evaluating AI-generated responses for compliance with accuracy, relevance, and safety standards. Detailed annotation guidelines were followed to ensure high consistency and data quality across the labeling workflow. • Labeled both text and multimodal inputs to support generative model development. • Identified and documented edge cases, ambiguous prompts, and labeling discrepancies. • Used Google Sheets and internal annotation tools to manage progress and ensure quality metrics. • Worked closely with reviewers to uphold stringent annotation accuracy and agreement standards.

As a Data Annotator at Meta, I performed precise annotation and validation of text and multimodal datasets for training generative AI models. My work included systematically evaluating AI-generated responses for compliance with accuracy, relevance, and safety standards. Detailed annotation guidelines were followed to ensure high consistency and data quality across the labeling workflow. • Labeled both text and multimodal inputs to support generative model development. • Identified and documented edge cases, ambiguous prompts, and labeling discrepancies. • Used Google Sheets and internal annotation tools to manage progress and ensure quality metrics. • Worked closely with reviewers to uphold stringent annotation accuracy and agreement standards.

2024 - 2025

Education

Q

Quantic School of Business & Technology

Master of Business Administration, Business Administration

Master of Business Administration
2024 - 2024
L

Lagos State University

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2018

Work History

N

NYC Housing Authority

Business Analyst

New York
2024 - Present
M

Mavericks

Business Analyst / ServiceNow Developer

Remote
2023 - Present